Volume 4 Number 1 (Jan. 2015)
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IJCCE 2015 Vol.4(1): 18-21 ISSN: 2010-3743
DOI: 10.7763/IJCCE.2015.V4.375

Study on the Mixed Prediction Method of Order Quantity Based on Grey Neural Network

Zhou Yewang
Abstract—Order quantity prediction in modern enterprise management play an very important position, order quantity is influenced by many uncertain factors. the paper put forward a mixed prediction method to predict the order quantity based on grey prediction and artificial neural network, the mixed prediction method can make full use of each single prediction model, can better improve the prediction accuracy. The method is based on grey prediction model, using the advantages simple algorithm less data and BP neural network to nonlinear system prediction performance advantages, the use of BP nonlinear mapping of neural network mixed prediction.

Index Terms—Mixed prediction, grey prediction, neural network, order quantity.

Zhou Yewang is with the School of Business, Huanggang Normal University, Huanggang, 438000, China (e-mail: whuw@sina.com).

Cite:Zhou Yewang, "Study on the Mixed Prediction Method of Order Quantity Based on Grey Neural Network," International Journal of Computer and Communication Engineering vol. 4, no. 1, pp. 18-21, 2015.

General Information

ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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